Table 1.
: comparison of related works.
| Reference | Investigation focus | Methodology | Key differences from our work |
|---|---|---|---|
| 24 | Coverage and SNR gain in IRS-aided systems | IRS-assisted communication | No focus on NOMA or security |
| 25 | IRS-based wireless channel optimization | IRS reflection coefficient optimization | No security analysis or NOMA integration |
| 26 | Security enhancements in IoT networks | IRS-based secrecy rate optimization | No NOMA or jamming considerations |
| 27 | Secure MIMO transmission using IRS | IRS-assisted secure beamforming | No NOMA or secrecy outage analysis |
| 28 | Secure transmission in IRS-SWIPT systems | Deep learning for IRS optimization | No focus on NOMA or massive MIMO |
| 29 | Physical layer security in RIS-aided networks | RIS-based secrecy rate enhancement | No integration of NOMA or jamming |
| 30 | IRS-assisted NOMA with secrecy constraints | IRS-assisted beamforming & NOMA | No jamming effect considered |
| 31 | IRS-assisted NOMA security | IRS deployment for secrecy enhancement | No analysis of ergodic secrecy rate (ESR) under jamming |
| 35 | Secure NOMA with transmit antenna selection | Antenna selection for physical layer security | Does not consider IRS or massive MIMO |
| 36 | Security in NOMA with untrusted near user | Power allocation and secrecy beamforming | Focuses on an untrusted near user rather than a far user as in our work |
| 37 | Physical layer security in random NOMA networks | Stochastic geometry for secrecy analysis | No IRS integration or jamming mechanism |
| Our work | Secure NOMA with IRS and jamming | IRS-assisted secrecy enhancement, massive MIMO, jamming for untrusted far user | Introduces jamming to protect against an untrusted far user while leveraging IRS for secrecy enhancement, considers both ergodic secrecy rate (ESR) and secrecy outage probability (SOP), and analyzes the impact of IRS placement and power allocation strategies |